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» Probabilistic Ranking Queries on Gaussians
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WWW
2005
ACM
14 years 28 days ago
Preferential walk: towards efficient and scalable search in unstructured peer-to-peer networks
To improve search efficiency and reduce unnecessary traffic in Peerto-Peer (P2P) networks, this paper proposes a trust-based probabilistic search algorithm, called preferential wa...
Hai Zhuge, Xue Chen, Xiaoping Sun
ICDE
2007
IEEE
134views Database» more  ICDE 2007»
14 years 8 months ago
Efficient Top-k Query Evaluation on Probabilistic Data
Modern enterprise applications are forced to deal with unreliable, inconsistent and imprecise information. Probabilistic databases can model such data naturally, but SQL query eva...
Christopher Re, Nilesh N. Dalvi, Dan Suciu
VLDB
2004
ACM
98views Database» more  VLDB 2004»
14 years 22 days ago
Top-k Query Evaluation with Probabilistic Guarantees
Top-k queries based on ranking elements of multidimensional datasets are a fundamental building block for many kinds of information discovery. The best known general-purpose algor...
Martin Theobald, Gerhard Weikum, Ralf Schenkel
SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
14 years 7 months ago
URank: formulation and efficient evaluation of top-k queries in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between query scores and data uncertainty ma...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
SIGIR
2005
ACM
14 years 28 days ago
Relevance weighting for query independent evidence
A query independent feature, relating perhaps to document content, linkage or usage, can be transformed into a static, per-document relevance weight for use in ranking. The challe...
Nick Craswell, Stephen E. Robertson, Hugo Zaragoza...